Consumer Goods OPT Jobs in Wisconsin
Consumer goods F-1 OPT sponsorship jobs in Wisconsin draw from a strong manufacturing and retail base, with employers like Kraft Heinz, Kohl's, and SC Johnson operating across Milwaukee, Madison, and Racine. International students on OPT find openings in supply chain, brand management, product development, and data analytics within this sector.
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The Best Experience Company
Our tagline is “The Best Experience Company.” More than just a set of words, it represents the essence of who we are at Springs Window Fashions. As North America’s premier window covering company, we’re committed to creating the Best Experience for our associates, consumers and end users, business partners, and communities. We want you to join our team of passionate self-starters who believe the world is full of Best Experience opportunities. So, if you’re excited about the thought of a Best Experience career with a team focused on creating Best Experiences for all, we want to hear from you!
Position Overview
The Lead, Master Data Management (MDM) reports to the Director, Financial Systems & Analytics and serves as a lead contributor on enterprise MDM initiatives. This role balances hands-on technical execution with functional leadership and cross-functional collaboration, supporting the design, development, governance, and continuous improvement of scalable master data solutions across enterprise systems and business processes.
Key Responsibilities
The Manager, Master Data Management reports to the Director, Financial Systems & Analytics and leads the development and evolution of enterprise master data solutions and capabilities in close partnership with Data Engineering (DAWGs), BI & Analytics, and business teams. This role balances hands-on technical leadership with strategic planning and cross-functional collaboration, overseeing the design, implementation, and governance of scalable MDM processes, data models, and supporting platforms.
Key Responsibilities For This Position Include
Functional Leadership & Collaboration
- Serve as a functional lead on MDM initiatives, guiding solution design, process definition, stewardship practices, and alignment with MDM standards and governance expectations.
- Mentor and guide MDM Application Developers, MDM Analysts, and business data stewards, supporting skill development, knowledge sharing, and best practice adoption.
- Partner with business stakeholders, Data Engineering, BI & Analytics, Financial Systems, and other IT counterparts to translate master data needs into scalable, governed solutions.
- Coordinate cross-functional MDM workstreams, helping prioritize issues, resolve data and process challenges, and maintain continuity across systems and domains.
- Serve as a backup to the Manager, Master Data Management, or as the primary MDM functional lead when needed, supporting stakeholder engagement, initiative leadership, and MDM delivery continuity.
MDM Solution Design & Process Enablement
- Design, develop, and enhance master data solutions, workflows, data models, hierarchies, validation rules, and supporting processes across key enterprise data domains.
- Support the evaluation, selection, and implementation of MDM platforms and tools to enable scalable and sustainable master data management capabilities.
- Ensure MDM solutions support multiple data domains, including customer, product, vendor, financial, and other critical enterprise data.
- Provide technical leadership in defining data models, hierarchies, solution workflows, and supporting structures that enable efficient, governed master data management.
- Collaborate with Data Engineering & Architecture teams to align MDM solutions with enterprise data platforms, integration patterns, and downstream analytics needs.
Master Data Governance, Quality & Stewardship
- Support the definition and adoption of master data standards, ownership models, stewardship workflows, and lifecycle management processes.
- Partner with business data stewards to define data quality rules, validation logic, approval workflows, and maintenance processes.
- Develop and monitor data quality standards, controls, and metrics to improve master data accuracy and consistency.
- Drive root cause analysis and resolution of data quality issues across systems.
- Lead continuous improvement of master data processes, workflows, and controls.
Enterprise Data Integration & Cross-Functional Alignment
- Collaborate with the Data Warehousing & Integration (DAWGs) team to ensure master data is consistently integrated across enterprise systems and analytics platforms.
- Partner with BI & Analytics teams to support trusted master data for reporting, dashboards, certified datasets, and decision-making.
- Work closely with Financial Systems, Pricing, ERP, and operational teams to align master data structures with business processes and system requirements.
- Support integration of multiple data sources and applications to enable reliable, consistent master data flows across enterprise platforms.
- Contribute to documentation of data flows, source-to-target mappings, data definitions, and integration patterns that support enterprise data consistency.
MDM Capability Development & Continuous Improvement
- Oversee support and drive improvement of MDM applications and processes, including issue resolution, enhancements, performance optimization, and workflow efficiency.
- Ensure appropriate testing and release management practices are followed for MDM solutions to support reliable delivery and operational continuity.
- Maintain documentation of MDM processes, solution designs, data structures, standards, and support procedures to enable knowledge transfer and consistent execution.
- Track solution effectiveness and identify opportunities to mature MDM capabilities toward governed, decentralized maintenance, improved data quality, and scalable stewardship.
Requirements
Education and Experience
- 4+ years of progressive experience in master data management, data governance, enterprise application development, or related enterprise data roles.
- Bachelor’s degree in Computer Science, Information Technology, Information Systems, Data Management, Data Science, Business Analytics, or a related field required.
- Master’s degree in a related field, such as Information Systems, Data Science, Business Analytics, or MBA, preferred but not required.
- Professional certifications in data management, data governance, MDM platforms, business analysis, cloud platforms, or related technologies (e.g., Informatica, Microsoft Azure, AWS, or similar) are highly valued.
- Experience translating business requirements into scalable technical solutions, data processes, workflows, validation rules, and data quality controls.
- Experience designing, developing, supporting, or improving master data solutions, data models, workflows, or enterprise data applications.
- Demonstrated commitment to ongoing professional development through training, certifications, conferences, and industry engagement.
Knowledge, Skills, and Abilities
- Strong proficiency in SQL and relational database concepts, with experience working with complex, multi-source datasets.
- Familiarity with data governance practices, data quality management, stewardship workflows, and master data lifecycle processes.
- Demonstrated ability to analyze complex data and process issues, perform root cause analysis, and develop practical solutions that improve data accuracy and reliability.
- Experience collaborating across business and technical teams to deliver data-driven solutions aligned with operational, financial, analytical, or enterprise system needs.
- Ability to provide guidance, influence stakeholders, and support alignment across cross-functional teams without relying solely on formal authority.
- Strong communication skills with the ability to explain technical and data concepts to technical and non-technical stakeholders.
Preferred
- Contribution to MDM or data governance initiatives in an enterprise environment.
- Familiarity with MDM platforms or tools such as Informatica MDM, Reltio, Profisee, SAP MDG, Microsoft-based solutions, or similar technologies.
- Working knowledge of multiple master data domains such as customer, product, vendor, financial, location, or organizational data.
- Background supporting ERP, financial systems, pricing systems, product configuration, or other complex enterprise data structures.
- Exposure to manufacturing, consumer products, or similarly complex environments with configurable products, multi-system data flows, or distributed data ownership.
- Demonstrated ability to mentor technical or business team members, lead workstreams, or act as a lead contributor on data-related initiatives.
How We Work to Deliver a Best Experience: Our Culture
- Our Core Value: We do the right thing, always
- Our Seven Cultural Behaviors
- Empowerment - We trust our people.
- Ownership - We take 100% responsibility for our roles actions, and results.
- Leadership - We all lead by example and talk direct with respect (DWR).
- One Team - We are One Springs Team.
- Customer First - We consider our customers' needs before every decision.
- Continuous Innovation - We are constantly learning, innovating, and improving.
- Speed - We define priorities and operate with a sense of urgency and agility.
Description
The Best Experience Company
Our tagline is “The Best Experience Company.” More than just a set of words, it represents the essence of who we are at Springs Window Fashions. As North America’s premier window covering company, we’re committed to creating the Best Experience for our associates, consumers and end users, business partners, and communities. We want you to join our team of passionate self-starters who believe the world is full of Best Experience opportunities. So, if you’re excited about the thought of a Best Experience career with a team focused on creating Best Experiences for all, we want to hear from you!
Position Overview
The Lead, Master Data Management (MDM) reports to the Director, Financial Systems & Analytics and serves as a lead contributor on enterprise MDM initiatives. This role balances hands-on technical execution with functional leadership and cross-functional collaboration, supporting the design, development, governance, and continuous improvement of scalable master data solutions across enterprise systems and business processes.
Key Responsibilities
The Manager, Master Data Management reports to the Director, Financial Systems & Analytics and leads the development and evolution of enterprise master data solutions and capabilities in close partnership with Data Engineering (DAWGs), BI & Analytics, and business teams. This role balances hands-on technical leadership with strategic planning and cross-functional collaboration, overseeing the design, implementation, and governance of scalable MDM processes, data models, and supporting platforms.
Key Responsibilities For This Position Include
Functional Leadership & Collaboration
- Serve as a functional lead on MDM initiatives, guiding solution design, process definition, stewardship practices, and alignment with MDM standards and governance expectations.
- Mentor and guide MDM Application Developers, MDM Analysts, and business data stewards, supporting skill development, knowledge sharing, and best practice adoption.
- Partner with business stakeholders, Data Engineering, BI & Analytics, Financial Systems, and other IT counterparts to translate master data needs into scalable, governed solutions.
- Coordinate cross-functional MDM workstreams, helping prioritize issues, resolve data and process challenges, and maintain continuity across systems and domains.
- Serve as a backup to the Manager, Master Data Management, or as the primary MDM functional lead when needed, supporting stakeholder engagement, initiative leadership, and MDM delivery continuity.
MDM Solution Design & Process Enablement
- Design, develop, and enhance master data solutions, workflows, data models, hierarchies, validation rules, and supporting processes across key enterprise data domains.
- Support the evaluation, selection, and implementation of MDM platforms and tools to enable scalable and sustainable master data management capabilities.
- Ensure MDM solutions support multiple data domains, including customer, product, vendor, financial, and other critical enterprise data.
- Provide technical leadership in defining data models, hierarchies, solution workflows, and supporting structures that enable efficient, governed master data management.
- Collaborate with Data Engineering & Architecture teams to align MDM solutions with enterprise data platforms, integration patterns, and downstream analytics needs.
Master Data Governance, Quality & Stewardship
- Support the definition and adoption of master data standards, ownership models, stewardship workflows, and lifecycle management processes.
- Partner with business data stewards to define data quality rules, validation logic, approval workflows, and maintenance processes.
- Develop and monitor data quality standards, controls, and metrics to improve master data accuracy and consistency.
- Drive root cause analysis and resolution of data quality issues across systems.
- Lead continuous improvement of master data processes, workflows, and controls.
Enterprise Data Integration & Cross-Functional Alignment
- Collaborate with the Data Warehousing & Integration (DAWGs) team to ensure master data is consistently integrated across enterprise systems and analytics platforms.
- Partner with BI & Analytics teams to support trusted master data for reporting, dashboards, certified datasets, and decision-making.
- Work closely with Financial Systems, Pricing, ERP, and operational teams to align master data structures with business processes and system requirements.
- Support integration of multiple data sources and applications to enable reliable, consistent master data flows across enterprise platforms.
- Contribute to documentation of data flows, source-to-target mappings, data definitions, and integration patterns that support enterprise data consistency.
MDM Capability Development & Continuous Improvement
- Oversee support and drive improvement of MDM applications and processes, including issue resolution, enhancements, performance optimization, and workflow efficiency.
- Ensure appropriate testing and release management practices are followed for MDM solutions to support reliable delivery and operational continuity.
- Maintain documentation of MDM processes, solution designs, data structures, standards, and support procedures to enable knowledge transfer and consistent execution.
- Track solution effectiveness and identify opportunities to mature MDM capabilities toward governed, decentralized maintenance, improved data quality, and scalable stewardship.
Requirements
Education and Experience
- 4+ years of progressive experience in master data management, data governance, enterprise application development, or related enterprise data roles.
- Bachelor’s degree in Computer Science, Information Technology, Information Systems, Data Management, Data Science, Business Analytics, or a related field required.
- Master’s degree in a related field, such as Information Systems, Data Science, Business Analytics, or MBA, preferred but not required.
- Professional certifications in data management, data governance, MDM platforms, business analysis, cloud platforms, or related technologies (e.g., Informatica, Microsoft Azure, AWS, or similar) are highly valued.
- Experience translating business requirements into scalable technical solutions, data processes, workflows, validation rules, and data quality controls.
- Experience designing, developing, supporting, or improving master data solutions, data models, workflows, or enterprise data applications.
- Demonstrated commitment to ongoing professional development through training, certifications, conferences, and industry engagement.
Knowledge, Skills, and Abilities
- Strong proficiency in SQL and relational database concepts, with experience working with complex, multi-source datasets.
- Familiarity with data governance practices, data quality management, stewardship workflows, and master data lifecycle processes.
- Demonstrated ability to analyze complex data and process issues, perform root cause analysis, and develop practical solutions that improve data accuracy and reliability.
- Experience collaborating across business and technical teams to deliver data-driven solutions aligned with operational, financial, analytical, or enterprise system needs.
- Ability to provide guidance, influence stakeholders, and support alignment across cross-functional teams without relying solely on formal authority.
- Strong communication skills with the ability to explain technical and data concepts to technical and non-technical stakeholders.
Preferred
- Contribution to MDM or data governance initiatives in an enterprise environment.
- Familiarity with MDM platforms or tools such as Informatica MDM, Reltio, Profisee, SAP MDG, Microsoft-based solutions, or similar technologies.
- Working knowledge of multiple master data domains such as customer, product, vendor, financial, location, or organizational data.
- Background supporting ERP, financial systems, pricing systems, product configuration, or other complex enterprise data structures.
- Exposure to manufacturing, consumer products, or similarly complex environments with configurable products, multi-system data flows, or distributed data ownership.
- Demonstrated ability to mentor technical or business team members, lead workstreams, or act as a lead contributor on data-related initiatives.
How We Work to Deliver a Best Experience: Our Culture
- Our Core Value: We do the right thing, always
- Our Seven Cultural Behaviors
- Empowerment - We trust our people.
- Ownership - We take 100% responsibility for our roles actions, and results.
- Leadership - We all lead by example and talk direct with respect (DWR).
- One Team - We are One Springs Team.
- Customer First - We consider our customers' needs before every decision.
- Continuous Innovation - We are constantly learning, innovating, and improving.
- Speed - We define priorities and operate with a sense of urgency and agility.
OPT Consumer Goods Job Roles in Wisconsin
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Search Consumer Goods Jobs in WisconsinConsumer Goods OPT Sponsorship Jobs in Wisconsin: Frequently Asked Questions
Which consumer goods companies sponsor F-1 OPT visas in Wisconsin?
Several large consumer goods employers in Wisconsin have a track record of hiring international students on OPT. SC Johnson, headquartered in Racine, regularly recruits in supply chain and R&D. Kohl's in Menomonee Falls hires for analytics and merchandising. Kraft Heinz has a presence in the Milwaukee area. Sponsorship is not guaranteed and depends on role, headcount, and employer policy at the time of hiring.
Which cities in Wisconsin have the most consumer goods F-1 OPT sponsorship jobs?
Milwaukee is the primary hub, with the largest concentration of consumer goods employers and corporate functions spanning marketing, finance, and operations. Racine is notable for SC Johnson's global headquarters. Madison offers opportunities tied to the university research corridor and regional retail operations. Smaller markets like Green Bay and Kenosha also have food manufacturing and distribution employers that occasionally hire OPT candidates.
What types of consumer goods roles typically qualify for F-1 OPT sponsorship?
Roles that align directly with a degree field are the strongest fit for OPT authorization. Common qualifying positions in consumer goods include supply chain analyst, data analyst, product development engineer, financial analyst, marketing analyst, and quality assurance specialist. Hands-on technical and quantitative roles tend to be easiest to connect to a specific degree, which is what OPT requires. General management or sales roles with no degree-field tie are harder to justify.
How do I find consumer goods F-1 OPT sponsorship jobs in Wisconsin?
Migrate Mate is built specifically for international students and filters consumer goods jobs in Wisconsin by visa type, including F-1 OPT, so you can avoid applying to roles where sponsorship is not available. Beyond browsing Migrate Mate, targeting Wisconsin-based employers with established international hiring programs and applying during peak recruiting cycles, typically fall for full-time roles, improves your chances of finding a match before your OPT window closes.
Are there any Wisconsin-specific or consumer goods-specific considerations for F-1 OPT sponsorship?
Wisconsin's consumer goods sector is heavily weighted toward food and beverage, household products, and retail, industries that tend to hire OPT students in technical and analytical functions more readily than in sales-heavy roles. STEM OPT extension eligibility depends on whether your degree qualifies under the DHS STEM designated degree list, not just on the employer or industry. Students in engineering, data science, or chemistry programs often have an advantage when applying to R&D and operations roles at Wisconsin manufacturers.